为探究不同尺度或不同来源的土地利用/覆盖（land use/land cover, LULC）数据产品对生态系统服务价值（ecosystem service value, ESV）估算的影响，本研究以丹江口水库水源区（湖北段）为例，通过升尺度算法获取了两种LULC数据产品在30~ 3 000 m范围内共12个不同尺度的土地利用数据，并使用当量因子法分析不同尺度下的ESV特征，旨在研究LULC数据对ESV估算的空间尺度效应。结果表明：随着空间尺度的增大，LULC数据的空间细节逐渐减弱，但总体空间格局相对稳定，ESV的组成结构也基本保持稳定；两种LULC数据产品估算的ESV平均相差约4.23%，具体差异随空间尺度的变化有所波动；不同尺度的ESV估算结果存在一定差异，但总体上在30 ~ 500 m尺度保持相对稳定，而在1 000 m及以上尺度波动较大，由此推断以500 m及以下尺度为基础进行研究区ESV估算较为适宜。研究结果可为选取合适尺度的LULC数据进行ESV估算提供依据，对提高ESV估算的可靠性、促进生态产品价值实现等方面具有一定的参考价值。

In order to investigate the impact of land use/land cover (LULC) data products of different scales or sources on the estimation of ecosystem service value (ESV), taking the Danjiangkou Reservoir water source area (Hubei section) as an example, two LULC data products were obtained using an upscaling algorithm to generate land use data at 12 different scales ranging from 30 to 3 000 meters. The equivalent factor method was employed to analyze ESV characteristics at different scales, aiming to investigate the spatial scale effect of LULC data on ESV estimation. The results indicate that with increasing spatial scale, the spatial details of LULC data gradually diminish, yet the overall spatial patterns remain relatively stable, and the composition structure of ESV also remains stable. The average difference in ESV estimated by the two LULC data products is approximately 4.23%, with specific differences fluctuating with changes in spatial scale. The ESV estimates at different scales show some differences, but generally remain relatively stable in the range of 30 to 500 meters, while fluctuations are larger at scales of 1 000 meters and above. It is inferred that conducting ESV estimation based on scales of 500 meters and below is more appropriate for the study area. The study results can provide a basis for selecting appropriate scales of LULC data for ESV estimation, and are of reference value for improving the reliability of ESV estimation and promoting the realization of ecological product value.